I watched the trailer. So, is this a movie or a video game? As a video game I might give it a go. As a movie, nah, the uncanny valley is very obvious.

Not only are the cameras spreading all over town here, I went to buy some stuff at Home Depot and found them at the entrances to their lot. So I turned around to go to Lowe's, and found the same thing there. Did a little digging and found that they have 'a problem with shoplifting' and this is their solution. So I guess I'm taking my business to Ace and Harbor Freight and some other locals.

I'm estimating that my plate is getting tagged at least a half-dozen times a day.

We may need to tinker with individual laws -- but the bigger picture is as in my sig: "The biggest challenge of the 21st century is the irony of technologies of abundance in the hands of those still thinking in terms of scarcity."

The results from whatever the laws will likely remain problematical as long as we have a political mythology built around scarcity while we also have super-powerful computers which could be used for universal surveillance or all sorts of other problematical -- or beneficial -- things.

We need collectively to change the spirit behind the culture towards one recognizing and emphasizing abundance in all we do and legislate.

Related from: https://egreenway.com/taoism/t...
"When the Tao is forgotten, there is righteousness.
When righteousness is forgotten, there is morality.
When morality is forgotten, there is the law.
The law is the husk of faith,
and trust is the beginning of chaos."

So, we need to emphasize the "tao" (way, spirit) of abundance -- as otherwise instead of using technology to create egalitarian abundance for all, we may just digitize an inegalitarian status quo or worse.

How are you defining "statistical inferences" as distinct from "logical inferences"? If you're defining fuzzy logic (e.g. not necessarily yes-or-no answers but allowing for ambiguity in conclusions), then we can agree conceptually, but your choice of wording is, I have to say, weird if so.

Yepp, one of the reasons being that POTS will work even during power outages, as long as the central switches are powered. Your VoIP will be down if your house has no power. It probably is more efficient, but that "saving" is also simply shifting some of the power usage to consumers.

My understanding is that LLMs are built on a foundation of ANNs, and that indeed the backpropagation used to train ANNs is a statistical process;

Two responses. One, that's discussing individual-neuron scale processes rather than collective processes; and this was a discussion about inference, not training. Human neurons also learn by error minimization (Hebbian learning). But this does not describe the macroscopic processes that result from said minimization.

* During training, neurons develop into classifiers that detect superpositions of concepts that collectively follow the same activation process. Individual neurons weight their input space and subdivide it by a fuzzy hyperplane to achieve a classification result.

* In subsequent layers, said input space is formed from a weighted combination of the previous layer's classification; thus, the superpositions of questions being formed are more complex, as are the classification results.

* In a LLM, this iterates for dozens of layers, gaining complexity at each layer, to form each FFN

* The initial input space to a FFN is a latent (conceptual representation), as is the output; the FFNs, in result, function as classifier-generators; they detect combinations of concepts in the input space, and output the causally-resultant concepts into the output space

* FFNs alternate with attention layers dozens to hundreds of times in order to process the information, each layer building on the results of the previous one.

The word to describe that is not "statistics". It's "logic".

In a LLM, the first few layers focus on disambiguation. If there's a token for "bank", is this about a riverbank, a financial bank, banking a plane, etc? As the layers progress, it starts building up first simple circuits, and then progressively more complex circuits - you might get a circuit that detects "talking like MAGA", or "off-by-one programming errors", or whatnot. In the late layers, you have the general conclusions reached - for example, if it were "The capitol of the state that contains America's fourth-largest metro area is...", you've already had FFNs detect the concepts of fourth-largest metro area and encoded Dallas-Forth Worth, and then later taken that and encoded "Texas", and then finally encoding "Austin". And then in the final couple layers you converge back toward linguistic space.

Anthropic has done some great work on this with attribution graph probes and the like; you can detect what circuits are firing, and on what things those circuits fire, and ramp them up or down to see how it modifies the output. They very much work through long chains of logical inferences.

I use every style imaginable, including photos, in my tests. Same result every time.

One time I even did it with a Calvin and Hobbes comic, pretending than an AI made it. Responses included things like "The illustration also looks like shit and barely makes sense. Hope that helps.", "God damn this sucks so bad", "This also fucking sucks", and "The only punchline here is casual, pointless cruelty. if you think this is funny then you're literally a psychopath."

LLMs are not "statistical models" (randomness only even comes into play in the final conversion from latent space to token space because latent space is high dimensional, token space is low dimension, you need a rounding mechanism, and a "noisy" rounding mechanism works best; what you're thinking of, by contrast, is Markov models). And you cannot just "get lucky and randomly solve an unsolved math problem"; that's not how any of this works.

Also, it's silly that people are acting like "all problems but this one were already in the literature". AI has solved a whole slew on Erdos problems, and only a fraction had anything to do with existing literature.

And even in "existing literature" examples, it's not "nobody ever thought to search before" as if all mathematicians are morons, or that mathematicians adore putting out Erdos problem solutions without claiming them, It's that nobody had ever thought to apply an obscure technique from a given piece of literature to said Erdos problem.

The simple fact is, AI has gotten much better at solving unsolved math problems than humans are. It's simply another field that it's taking over, the same way it has been taking over programming. One can debate how much is "clever insight" vs. "just chugging away at possibilities until it hits on ways to advance toward the goal", but ultimately, that's a distraction from the fact that: it's getting really good at solving math problems that humans have spent decades on without success.

The market is a wet dream of manufacturers, of course. Already knowing that for all the forseable future however much you can produce will be sold at very good prices - amazing.

Until the house of cards comes down. Most of the stuff ordered is, as someone put well into a meme, money that doesn't yet exist buying chips that don't yet exist for data centers that have not yet been built.

Basically, violence in the Middle East started on a significant scale with the collapse of the ecosystem. Natural climate shifts in the area reduced food available and regions that were inhabitable. This resulted in massive population migrations (the Sea People, the Babylonians, etc). As natural resources were depleted and became highly centralised, violence became worse. The collapse of the tin market resulted in Dark Ages for many cultures in the region, where societies imploded catastrophically.

As wealth increased, corruption increased. We know all about a copper merchant in Babylonian times, but it was unusual enough that he wrote a long and rambling letter in cuneiform about it. These sorts of complaints weren't common but increased. Corruption requires chaos, and chaos generates conflict. So this relationship should not be surprising. It's not that corruption causes violence, but corruption and violence have the same cause and are tightly coupled.

That is highly speculative.

Did we not watch Tron? Why not WOPR?

It's like winning a judgement against the Ghost of Christmas Past. You want a true win? Hammer the companies doing pirating on a massive scale to feed their AI bullshit. I believe Meta had a HUGE interest in Anna's Archive at one point, Zuck approved.